Megacity: Difference between revisions
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!scope="row"| [[Bangalore]] | !scope="row"| [[Bangalore]] | ||
| [[File:UB City.jpg|120x120px]] | | [[File:UB City.jpg|120x120px]] | ||
| | | India | ||
| [[South Asia]] | | [[South Asia]] | ||
| 14,700,000 | | 14,700,000 | ||
| Line 107: | Line 107: | ||
!scope="row"| [[Bangkok]] | !scope="row"| [[Bangkok]] | ||
| [[File:0008871 - Krung Thep Bridge 001.jpg|120x120px]] | | [[File:0008871 - Krung Thep Bridge 001.jpg|120x120px]] | ||
| | | Thailand | ||
| [[Southeast Asia]] | | [[Southeast Asia]] | ||
| 21,800,000 | | 21,800,000 | ||
| Line 117: | Line 117: | ||
!scope="row"| [[Beijing]] | !scope="row"| [[Beijing]] | ||
| [[File:Skyline of Beijing CBD with B-5906 approaching (20211016171955).jpg|alt=|120x120px]] | | [[File:Skyline of Beijing CBD with B-5906 approaching (20211016171955).jpg|alt=|120x120px]] | ||
| | | China | ||
| [[East Asia]] | | [[East Asia]] | ||
| 21,500,000 | | 21,500,000 | ||
| Line 127: | Line 127: | ||
!scope="row"| [[Bogotá]] | !scope="row"| [[Bogotá]] | ||
| [[File:Bogota z veže Colpatria (34432642862).jpg|120px]] | | [[File:Bogota z veže Colpatria (34432642862).jpg|120px]] | ||
| | | Colombia | ||
| [[South America]] | | [[South America]] | ||
| 10,600,000 | | 10,600,000 | ||
| Line 137: | Line 137: | ||
!scope="row"| [[Buenos Aires]] | !scope="row"| [[Buenos Aires]] | ||
| [[File:High-rises of Puerto Madero (40022145164).jpg|120px]] | | [[File:High-rises of Puerto Madero (40022145164).jpg|120px]] | ||
| | | Argentina | ||
| [[South America]] | | [[South America]] | ||
| 16,800,000 | | 16,800,000 | ||
| Line 147: | Line 147: | ||
!scope="row"| [[Cairo]] | !scope="row"| [[Cairo]] | ||
| [[File:Cropped Cairo.jpg|120px]] | | [[File:Cropped Cairo.jpg|120px]] | ||
| | | Egypt | ||
| {{sort|Africa|[[North Africa]]}} | | {{sort|Africa|[[North Africa]]}} | ||
| 22,800,000 | | 22,800,000 | ||
| Line 157: | Line 157: | ||
!scope="row"| [[Changsha]] | !scope="row"| [[Changsha]] | ||
| [[File:Skyline with Xiang River.png|120x120px]] | | [[File:Skyline with Xiang River.png|120x120px]] | ||
| | | China | ||
| [[East Asia]] | | [[East Asia]] | ||
| 11,500,000 | | 11,500,000 | ||
| Line 167: | Line 167: | ||
!scope="row"| [[Chengdu]] | !scope="row"| [[Chengdu]] | ||
| [[File:雪山下的成都市天际线 Chengdu skyline with snow capped mountains.jpg|120x120px]] | | [[File:雪山下的成都市天际线 Chengdu skyline with snow capped mountains.jpg|120x120px]] | ||
| | | China | ||
| [[East Asia]] | | [[East Asia]] | ||
| 18,100,000 | | 18,100,000 | ||
| Line 176: | Line 176: | ||
|- | |- | ||
!scope="row"| [[Chennai]] | !scope="row"| [[Chennai]] | ||
| [[File:Chennai | | [[File:Victoria Public Hall and Chennai central aerial view.jpg|120px]] | ||
| | | India | ||
| [[South Asia]] | | [[South Asia]] | ||
| 12,900,000 | | 12,900,000 | ||
| Line 187: | Line 187: | ||
!scope="row"| [[Chongqing]] | !scope="row"| [[Chongqing]] | ||
| [[File:重庆市渝中区半岛.jpg|alt=|120x120px]] | | [[File:重庆市渝中区半岛.jpg|alt=|120x120px]] | ||
| | | China | ||
| [[East Asia]] | | [[East Asia]] | ||
| 12,900,000 | | 12,900,000 | ||
| Line 197: | Line 197: | ||
!scope="row"| [[Delhi]] | !scope="row"| [[Delhi]] | ||
| [[File:Skyline at Rajiv Chowk.JPG|120px]] | | [[File:Skyline at Rajiv Chowk.JPG|120px]] | ||
| | | India | ||
| [[South Asia]] | | [[South Asia]] | ||
| 35,700,000 | | 35,700,000 | ||
| Line 207: | Line 207: | ||
!scope="row"| [[Dhaka]] | !scope="row"| [[Dhaka]] | ||
|[[File:Dhaka 14th March (32624769393).jpg|alt=|120x120px]] | |[[File:Dhaka 14th March (32624769393).jpg|alt=|120x120px]] | ||
| | | Bangladesh | ||
| [[South Asia]] | | [[South Asia]] | ||
| 23,100,000 | | 23,100,000 | ||
| Line 216: | Line 216: | ||
|- | |- | ||
!scope="row"| [[Dongguan]] | !scope="row"| [[Dongguan]] | ||
| [[File: | | [[File:Dongguan in June 19, 2025 (1).jpg|alt=|120x120px]] | ||
| | | China | ||
| [[East Asia]] | | [[East Asia]] | ||
| {{n/a|Combined with<br />[[Guangzhou]]}} | | {{n/a|Combined with<br />[[Guangzhou]]}} | ||
| Line 227: | Line 227: | ||
!scope="row"| [[Guangzhou]] | !scope="row"| [[Guangzhou]] | ||
| [[File:Guangzhou Twin Towers.jpg|alt=|120x120px]] | | [[File:Guangzhou Twin Towers.jpg|alt=|120x120px]] | ||
| | | China | ||
| [[East Asia]] | | [[East Asia]] | ||
| 72,700,000 | | 72,700,000 | ||
| Line 237: | Line 237: | ||
!scope="row"| [[Hangzhou]] | !scope="row"| [[Hangzhou]] | ||
| [[File:20201012从钱塘江江面上空观看钱江新城.jpg|120px]] | | [[File:20201012从钱塘江江面上空观看钱江新城.jpg|120px]] | ||
| | | China | ||
| [[East Asia]] | | [[East Asia]] | ||
| 14,600,000 | | 14,600,000 | ||
| Line 247: | Line 247: | ||
!scope="row"| [[Ho Chi Minh City]] | !scope="row"| [[Ho Chi Minh City]] | ||
| [[File:Saigon skyline night view.jpg|120px]] | | [[File:Saigon skyline night view.jpg|120px]] | ||
| Vietnam | |||
| [[Southeast Asia]] | | [[Southeast Asia]] | ||
| 14,300,000 | | 14,300,000 | ||
| Line 257: | Line 257: | ||
!scope="row"| [[Hyderabad]] | !scope="row"| [[Hyderabad]] | ||
| [[File:Manjeera Trinity corporate building, KPHB.jpg|120px]] | | [[File:Manjeera Trinity corporate building, KPHB.jpg|120px]] | ||
| India | |||
| [[South Asia]] | | [[South Asia]] | ||
| 11,700,000 | | 11,700,000 | ||
| Line 267: | Line 267: | ||
!scope="row"| [[Istanbul]] | !scope="row"| [[Istanbul]] | ||
| [[File:View of Levent financial district from Istanbul Sapphire.jpg|120px]] | | [[File:View of Levent financial district from Istanbul Sapphire.jpg|120px]] | ||
| | | Turkey | ||
| [[Europe]]<hr>[[West Asia]] | | [[Europe]]<hr>[[West Asia]] | ||
| 16,000,000 | | 16,000,000 | ||
| Line 277: | Line 277: | ||
!scope="row"| [[Jakarta]] | !scope="row"| [[Jakarta]] | ||
| [[File:SCBD, Jakarta.jpg|120px]] | | [[File:SCBD, Jakarta.jpg|120px]] | ||
| | | Indonesia | ||
| [[Southeast Asia]] | | [[Southeast Asia]] | ||
| 29,500,000 | | 29,500,000 | ||
| Line 287: | Line 287: | ||
!scope="row"| [[Jieyang]] | !scope="row"| [[Jieyang]] | ||
| [[File:Puning Urban Night View from Baierqiutian.jpg|120px]] | | [[File:Puning Urban Night View from Baierqiutian.jpg|120px]] | ||
| | | China | ||
| [[East Asia]] | | [[East Asia]] | ||
| {{n/a|{{red|Combined with<br />[[Shantou]]}}}} | | {{n/a|{{red|Combined with<br />[[Shantou]]}}}} | ||
| Line 297: | Line 297: | ||
!scope="row"| [[Johannesburg]] | !scope="row"| [[Johannesburg]] | ||
| [[File:Johannesburg CBD.jpg|alt=|120x120px]] | | [[File:Johannesburg CBD.jpg|alt=|120x120px]] | ||
| South Africa | |||
| {{sort|Africa|[[Southern Africa]]}} | | {{sort|Africa|[[Southern Africa]]}} | ||
| 14,800,000 | | 14,800,000 | ||
| Line 307: | Line 307: | ||
!scope="row"| [[Karachi]] | !scope="row"| [[Karachi]] | ||
| [[File:Skyline view in Karachi after lockdown.jpg|alt=|120x120px]] | | [[File:Skyline view in Karachi after lockdown.jpg|alt=|120x120px]] | ||
| | | Pakistan | ||
| [[South Asia]] | | [[South Asia]] | ||
| 21,000,000 | | 21,000,000 | ||
| Line 317: | Line 317: | ||
!scope="row"| [[Kinshasa]] | !scope="row"| [[Kinshasa]] | ||
| [[File:Boulevard du 30 juin, Kinshasa.jpg|120x120px]] | | [[File:Boulevard du 30 juin, Kinshasa.jpg|120x120px]] | ||
| | | [[DR Congo]] | ||
| {{sort|AAfrica|[[Central Africa]]}} | | {{sort|AAfrica|[[Central Africa]]}} | ||
| 16,300,000 | | 16,300,000 | ||
| Line 327: | Line 327: | ||
!scope="row"| [[Kolkata]] | !scope="row"| [[Kolkata]] | ||
| [[File:EM Bypass Kolkata.jpg|120x120px]] | | [[File:EM Bypass Kolkata.jpg|120x120px]] | ||
| | | India | ||
| [[South Asia]] | | [[South Asia]] | ||
| 17,900,000 | | 17,900,000 | ||
| Line 337: | Line 337: | ||
!scope="row"| [[Lagos]] | !scope="row"| [[Lagos]] | ||
| [[File:Lagos skyline.jpg|alt=|120x120px]] | | [[File:Lagos skyline.jpg|alt=|120x120px]] | ||
| | | Nigeria | ||
| {{sort|Africa|[[West Africa]]}} | | {{sort|Africa|[[West Africa]]}} | ||
| 21,300,000 | | 21,300,000 | ||
| Line 347: | Line 347: | ||
!scope="row"| [[Lahore]] | !scope="row"| [[Lahore]] | ||
| [[File:Badshahi Mosquee, Lahore.jpg|alt=|120x120px]] | | [[File:Badshahi Mosquee, Lahore.jpg|alt=|120x120px]] | ||
| | | Pakistan | ||
| [[South Asia]] | | [[South Asia]] | ||
| 14,600,000 | | 14,600,000 | ||
| Line 357: | Line 357: | ||
!scope="row"| [[Lima]] | !scope="row"| [[Lima]] | ||
| [[File:City of Lima, Peru.jpg|120px]] | | [[File:City of Lima, Peru.jpg|120px]] | ||
| | | Peru | ||
| [[South America]] | | [[South America]] | ||
| 12,000,000 | | 12,000,000 | ||
| Line 367: | Line 367: | ||
!scope="row"| [[London]] | !scope="row"| [[London]] | ||
| [[File:City of London skyline from London City Hall - Sept 2015 - Crop Aligned.jpg|120px]] | | [[File:City of London skyline from London City Hall - Sept 2015 - Crop Aligned.jpg|120px]] | ||
| | | United Kingdom | ||
| [[Europe]] | | [[Europe]] | ||
| 15,100,000 | | 15,100,000 | ||
| Line 377: | Line 377: | ||
!scope="row"| [[Los Angeles]] | !scope="row"| [[Los Angeles]] | ||
| [[File:Los Angeles with Mount Baldy.jpg|120px]] | | [[File:Los Angeles with Mount Baldy.jpg|120px]] | ||
| | | United States | ||
| [[North America]] | | [[North America]] | ||
| 17,100,000 | | 17,100,000 | ||
| Line 387: | Line 387: | ||
!scope="row"| [[Luanda]] | !scope="row"| [[Luanda]] | ||
| [[File:Marginal de Luanda HD Dji Mavic 3 Classic - By Délcio Geovany Borges.jpg|120px]] | | [[File:Marginal de Luanda HD Dji Mavic 3 Classic - By Délcio Geovany Borges.jpg|120px]] | ||
| | | Angola | ||
| {{sort|AAfrica|[[Central Africa]]}} | | {{sort|AAfrica|[[Central Africa]]}} | ||
| {{red|9,650,000}} | | {{red|9,650,000}} | ||
| Line 397: | Line 397: | ||
!scope="row"| [[Metro Manila]] | !scope="row"| [[Metro Manila]] | ||
| [[File:Makati Guadalupe-Poblacion skyline with Paco, Quirino (Manila; 12-23-2023).jpg|120px]] | | [[File:Makati Guadalupe-Poblacion skyline with Paco, Quirino (Manila; 12-23-2023).jpg|120px]] | ||
| | | Philippines | ||
| [[Southeast Asia]] | | [[Southeast Asia]] | ||
| 27,800,000 | | 27,800,000 | ||
| Line 407: | Line 407: | ||
!scope="row"| [[Mexico City]] | !scope="row"| [[Mexico City]] | ||
| [[File:Ciudad.de.Mexico.City.- Paseo.Reforma.Skyline CDMX 2016 (cropped).jpg|alt=|120x120px]] | | [[File:Ciudad.de.Mexico.City.- Paseo.Reforma.Skyline CDMX 2016 (cropped).jpg|alt=|120x120px]] | ||
| | | Mexico | ||
| [[North America]] | | [[North America]] | ||
| 25,400,000 | | 25,400,000 | ||
| Line 417: | Line 417: | ||
!scope="row"| [[Moscow]] | !scope="row"| [[Moscow]] | ||
| [[File:Business Centre of Moscow 2.jpg|120px]] | | [[File:Business Centre of Moscow 2.jpg|120px]] | ||
| | | Russia | ||
| [[Europe]] | | [[Europe]] | ||
| 18,800,000 | | 18,800,000 | ||
| Line 427: | Line 427: | ||
!scope="row"| [[Mumbai]] | !scope="row"| [[Mumbai]] | ||
| [[File:ওরলির গগনরৈখিক দৃশ্য.jpg|120x120px]] | | [[File:ওরলির গগনরৈখিক দৃশ্য.jpg|120x120px]] | ||
| | | India | ||
| [[South Asia]] | | [[South Asia]] | ||
| 27,600,000 | | 27,600,000 | ||
| Line 437: | Line 437: | ||
!scope="row"| [[Nagoya]] | !scope="row"| [[Nagoya]] | ||
| [[File:Meieki from Heiwa Park Aqua Tower.jpg|120x120px|]] | | [[File:Meieki from Heiwa Park Aqua Tower.jpg|120x120px|]] | ||
| | | Japan | ||
| [[East Asia]] | | [[East Asia]] | ||
| 10,500,000 | | 10,500,000 | ||
| Line 447: | Line 447: | ||
!scope="row"| [[New York City]] | !scope="row"| [[New York City]] | ||
| [[File:A view of New York City with the Empire State Building and One World Trade Center from the Rockefeller Center.jpg|alt=|120x120px]] | | [[File:A view of New York City with the Empire State Building and One World Trade Center from the Rockefeller Center.jpg|alt=|120x120px]] | ||
| | |United States | ||
| [[North America]] | | [[North America]] | ||
| 21,800,000 | | 21,800,000 | ||
| Line 457: | Line 457: | ||
!scope="row"| [[Osaka]] | !scope="row"| [[Osaka]] | ||
| [[File:Nakanoshima Skyscrapers in 201504 001.jpg|120px]] | | [[File:Nakanoshima Skyscrapers in 201504 001.jpg|120px]] | ||
| | | Japan | ||
| [[East Asia]] | | [[East Asia]] | ||
| 17,700,000 | | 17,700,000 | ||
| Line 467: | Line 467: | ||
!scope="row"| [[Paris]] | !scope="row"| [[Paris]] | ||
| [[File:Eiffel Tower from the Tour Montparnasse 3, Paris May 2014.jpg|120px]] | | [[File:Eiffel Tower from the Tour Montparnasse 3, Paris May 2014.jpg|120px]] | ||
| | | France | ||
| [[Europe]] | | [[Europe]] | ||
| 11,500,000 | | 11,500,000 | ||
| Line 477: | Line 477: | ||
!scope="row"| [[Rhine-Ruhr]] | !scope="row"| [[Rhine-Ruhr]] | ||
| [[File:Aerial view of Essen.jpg|120px]] | | [[File:Aerial view of Essen.jpg|120px]] | ||
| | | Germany | ||
|[[Europe]] | |[[Europe]] | ||
|10,900,000 | |10,900,000 | ||
| Line 487: | Line 487: | ||
!scope="row"| [[Rio de Janeiro]] | !scope="row"| [[Rio de Janeiro]] | ||
| [[File:Aerial View of Flamengo 1.jpg|120px]] | | [[File:Aerial View of Flamengo 1.jpg|120px]] | ||
| | | Brazil | ||
| [[South America]] | | [[South America]] | ||
| 13,600,000 | | 13,600,000 | ||
| Line 497: | Line 497: | ||
!scope="row"| [[São Paulo]] | !scope="row"| [[São Paulo]] | ||
| [[File:SP from Altino Arantes Building.jpg|alt=|120x120px]] | | [[File:SP from Altino Arantes Building.jpg|alt=|120x120px]] | ||
| | | Brazil | ||
| [[South America]] | | [[South America]] | ||
| 22,600,000 | | 22,600,000 | ||
| Line 507: | Line 507: | ||
!scope="row"| [[Seoul]] | !scope="row"| [[Seoul]] | ||
| [[File:Seoul (South Korea).jpg|alt=|120x120px]] | | [[File:Seoul (South Korea).jpg|alt=|120x120px]] | ||
| | | South Korea | ||
| [[East Asia]] | | [[East Asia]] | ||
| 25,200,000 | | 25,200,000 | ||
| Line 517: | Line 517: | ||
!scope="row"| [[Shanghai]] | !scope="row"| [[Shanghai]] | ||
| [[File:Shanghai skyline waterfront pudong 5166168 69 70.jpg|alt=|120x120px]] | | [[File:Shanghai skyline waterfront pudong 5166168 69 70.jpg|alt=|120x120px]] | ||
| | | China | ||
| [[East Asia]] | | [[East Asia]] | ||
| 41,600,000 | | 41,600,000 | ||
| Line 527: | Line 527: | ||
!scope="row"| [[Shenzhen]] | !scope="row"| [[Shenzhen]] | ||
| [[File:Shenzhen Skyline from Nanshan.jpg|alt=|120x120px]] | | [[File:Shenzhen Skyline from Nanshan.jpg|alt=|120x120px]] | ||
| | | China | ||
| [[East Asia]] | | [[East Asia]] | ||
| {{n/a|Combined with<br />[[Guangzhou]]}} | | {{n/a|Combined with<br />[[Guangzhou]]}} | ||
| Line 537: | Line 537: | ||
!scope="row"| [[Surabaya]] | !scope="row"| [[Surabaya]] | ||
| [[File:Central Surabaya view taken from JW Marriott Surabaya.jpg|alt=|120x120px]] | | [[File:Central Surabaya view taken from JW Marriott Surabaya.jpg|alt=|120x120px]] | ||
| | | Indonesia | ||
| [[Southeast Asia]] | | [[Southeast Asia]] | ||
| {{red|5,950,000}} | | {{red|5,950,000}} | ||
| Line 547: | Line 547: | ||
!scope="row"| [[Suzhou, Jiangsu|Suzhou]] | !scope="row"| [[Suzhou, Jiangsu|Suzhou]] | ||
| [[File:东方之门1.jpg|alt=|120x120px]] | | [[File:东方之门1.jpg|alt=|120x120px]] | ||
| | | China | ||
| [[East Asia]] | | [[East Asia]] | ||
| {{n/a|Combined with<br />[[Shanghai]]}} | | {{n/a|Combined with<br />[[Shanghai]]}} | ||
| Line 557: | Line 557: | ||
!scope="row"| [[Taipei]] | !scope="row"| [[Taipei]] | ||
| [[File:Taipei Skyline 2022.06.29.jpg|alt=|120x120px]] | | [[File:Taipei Skyline 2022.06.29.jpg|alt=|120x120px]] | ||
| | | Taiwan | ||
| [[East Asia]] | | [[East Asia]] | ||
| 10,100,000 | | 10,100,000 | ||
| Line 567: | Line 567: | ||
!scope="row"| [[Tehran]] | !scope="row"| [[Tehran]] | ||
| [[File:North of Tehran Skyline view.jpg|120px]] | | [[File:North of Tehran Skyline view.jpg|120px]] | ||
| | | Iran | ||
| [[West Asia]] | | [[West Asia]] | ||
| 16,800,000 | | 16,800,000 | ||
| Line 577: | Line 577: | ||
!scope="row"| [[Tianjin]] | !scope="row"| [[Tianjin]] | ||
| [[File:Tianjin Skyline 2009 Sep 11 by Nangua 1.jpg|alt=|120x120px]] | | [[File:Tianjin Skyline 2009 Sep 11 by Nangua 1.jpg|alt=|120x120px]] | ||
| | | China | ||
| [[East Asia]] | | [[East Asia]] | ||
| 11,700,000 | | 11,700,000 | ||
| Line 587: | Line 587: | ||
!scope="row"| [[Tokyo]] | !scope="row"| [[Tokyo]] | ||
| [[File:Minato City, Tokyo, Japan.jpg|alt=|120x120px]] | | [[File:Minato City, Tokyo, Japan.jpg|alt=|120x120px]] | ||
| | | Japan | ||
| [[East Asia]] | | [[East Asia]] | ||
| 41,200,000 | | 41,200,000 | ||
| Line 597: | Line 597: | ||
!scope="row"| [[Wuhan]] | !scope="row"| [[Wuhan]] | ||
| [[File:Wuhan Yangtze River Bridge in 2020.jpg|alt=|120x120px]] | | [[File:Wuhan Yangtze River Bridge in 2020.jpg|alt=|120x120px]] | ||
| | | China | ||
| [[East Asia]] | | [[East Asia]] | ||
| 12,600,000 | | 12,600,000 | ||
| Line 607: | Line 607: | ||
!scope="row"| [[Xiamen]] | !scope="row"| [[Xiamen]] | ||
| [[File:Amoy Skyscrapers 2018.jpg|alt=|120x120px]] | | [[File:Amoy Skyscrapers 2018.jpg|alt=|120x120px]] | ||
| | | China | ||
| [[East Asia]] | | [[East Asia]] | ||
| 15,400,000 | | 15,400,000 | ||
| Line 617: | Line 617: | ||
!scope="row"| [[Xi'an]] | !scope="row"| [[Xi'an]] | ||
| [[File:Xi'an_erhuan_southeast.JPG|alt=|120x120px]] | | [[File:Xi'an_erhuan_southeast.JPG|alt=|120x120px]] | ||
| | | China | ||
| [[East Asia]] | | [[East Asia]] | ||
| 13,400,000 | | 13,400,000 | ||
| Line 627: | Line 627: | ||
!scope="row"| [[Zhengzhou]] | !scope="row"| [[Zhengzhou]] | ||
| [[File:20211224 CBD of Zhengdong New Area.jpg|120x120px]] | | [[File:20211224 CBD of Zhengdong New Area.jpg|120x120px]] | ||
| | | China | ||
| [[East Asia]] | | [[East Asia]] | ||
| 10,300,000 | | 10,300,000 | ||
Revision as of 16:17, 30 June 2025
Template:Short description Script error: No such module "redirect hatnote". Template:Pp-protected
Template:World city population tables
A megacity is a very large city, typically with a population of more than 10 million people.[1][2][3][4] The United Nations Department of Economic and Social Affairs (UN DESA) in its 2018 "World Urbanization Prospects" report defines megacities as urban agglomerations with over 10 million inhabitants.[5] A University of Bonn report holds that they are "usually defined as metropolitan areas with a total population of 10 million or more people".[6] Elsewhere in other sources, from five to eight million is considered the minimum threshold, along with a population density of at least 2,000 per square kilometre.[7] The terms conurbation, metropolis, and metroplex are also applied to the latter.[7]
The total number of megacities in the world varies between different sources and their publication dates. The world had 32 according to EU Global Human Settlement Layer (in 2024), 33 according to UN DESA (in 2018), 39 according to the OECD, 44 according to Demographia (in 2023), and 45 according to CityPopulation.de (in 2023). In total, 53 unique places are mentioned as megacities across these sources. A good percentage of these urban agglomerations are in China and India. The other four countries with more than one megacity are Brazil, Japan, Pakistan, and the United States. African megacities are present in Nigeria, Egypt, South Africa, Angola and the DRC; European megacities are present in Russia, France, the United Kingdom, and Turkey (also in Asia); megacities can be found in Latin America in the countries of Brazil, Mexico, Colombia, Peru, and Argentina.
Some sources identify the Greater Tokyo Area as the largest megacity in the world,[5][8] while some others give the title to the Pearl River Delta in China.[9][10][11]
Urban Metric System
Script error: No such module "Labelled list hatnote". Template:Rewrite section Since, presently, urban data are based on arbitrary definitions that vary from country to country and from year or census to the next, making them difficult to compare, an Urban Metric System (UMS) has been conceived that could correct the problem,[12] since it allows computing the urban area limits and central points, and it can be applied in the same way to all past, present and future population and job distributions.
It is based on vector field calculations obtained by assuming that, in a given space, all inhabitants and jobs exert the same attractive force A and repulsive force R. The net force (A - R) exerted by each inhabitant or job is given by [1/(1 + d)] - [1/( β + d/2)], where d = distance and β is the only parameter.
UMS distinguishes the following types of urban areas(including "patropolises" that are tantamount to "megacities"), each type corresponding to a given value of β:
| Urban area | Distance at which the attractive force = the repulsive force | Value of β | |
|---|---|---|---|
| 1 | Central city | 10 km | 6 |
| 2 | Agglomeration | 20 km | 11 |
| 3 | Metropolis | 40 km | 21 |
| 4 | Patropolis | 80 km | 41 |
| 5 | Megalopolis | 160 km | 81 |
| 6 | Urban system | 320 km | 161 |
| 7 | Urban macrosystem | 640 km | 321 |
| 8 | Continental system | 1,280 km | 641 |
| 9 | Intercontinental system | 2,560 km | 1,281 |
| 10 | World system | 5,120 km | 2,561 |
UMS has been applied to some Canadian cases since 2018, but the data presented in this article are still based on the various existing national definitions, which are disparate.
List of megacities
Template:Sticky headerTemplate:Static row numbers
| Megacity | Image | Country | Region | Estimated population | ||||
|---|---|---|---|---|---|---|---|---|
| Citypopulation.de (2025)[9] |
Demographia (2023)[8] |
GHSL (2024)[13] |
UN DESA (2018)[5] |
OECD (2020)[14] | ||||
| Bangalore | File:UB City.jpg | India | South Asia | 14,700,000 | 15,257,000 | 15,178,533 | 11,440,000 | 14,253,019 |
| Bangkok | File:0008871 - Krung Thep Bridge 001.jpg | Thailand | Southeast Asia | 21,800,000 | 18,884,000 | 19,048,032 | 10,156,000 | 18,601,400 |
| Beijing | File:Skyline of Beijing CBD with B-5906 approaching (20211016171955).jpg | China | East Asia | 21,500,000 | 18,883,000 | 18,150,576 | 19,618,000 | 20,738,738 |
| Bogotá | File:Bogota z veže Colpatria (34432642862).jpg | Colombia | South America | 10,600,000 | 10,252,000 | 10,419,361 | 10,574,000 | 10,544,590 |
| Buenos Aires | File:High-rises of Puerto Madero (40022145164).jpg | Argentina | South America | 16,800,000 | 15,748,000 | 14,179,912 | 14,967,000 | 14,590,526 |
| Cairo | File:Cropped Cairo.jpg | Egypt | Template:Sort | 22,800,000 | 22,679,000 | 25,230,325 | 20,076,000 | 27,925,433 |
| Changsha | File:Skyline with Xiang River.png | China | East Asia | 11,500,000 | 5,065,000 | 3,246,971 | 4,345,000 | 4,009,195 |
| Chengdu | File:雪山下的成都市天际线 Chengdu skyline with snow capped mountains.jpg | China | East Asia | 18,100,000 | 15,016,000 | 5,609,627 | 8,813,000 | 9,768,500 |
| Chennai | File:Victoria Public Hall and Chennai central aerial view.jpg | India | South Asia | 12,900,000 | 11,570,000 | 11,466,400 | 10,456,000 | 11,528,915 |
| Chongqing | File:重庆市渝中区半岛.jpg | China | East Asia | 12,900,000 | 12,653,000 | 8,449,690 | 14,838,000 | 8,913,804 |
| Delhi | File:Skyline at Rajiv Chowk.JPG | India | South Asia | 35,700,000 | 31,190,000 | 31,422,508 | 28,514,000 | 33,495,554 |
| Dhaka | File:Dhaka 14th March (32624769393).jpg | Bangladesh | South Asia | 23,100,000 | 19,134,000 | 37,307,160 | 19,578,000 | 22,762,988 |
| Dongguan | File:Dongguan in June 19, 2025 (1).jpg | China | East Asia | Combined with Guangzhou |
10,753,000 | Combined with Guangzhou |
7,360,000 | Combined with Guangzhou |
| Guangzhou | File:Guangzhou Twin Towers.jpg | China | East Asia | 72,700,000 | 27,119,000 | 42,987,704 | 12,638,000 | 16,650,322 |
| Hangzhou | File:20201012从钱塘江江面上空观看钱江新城.jpg | China | East Asia | 14,600,000 | 9,618,000 | 6,387,064 | 7,236,000 | 9,013,951 |
| Ho Chi Minh City | File:Saigon skyline night view.jpg | Vietnam | Southeast Asia | 14,300,000 | 14,953,000 | 14,557,830 | 8,145,000 | 14,247,593 |
| Hyderabad | File:Manjeera Trinity corporate building, KPHB.jpg | India | South Asia | 11,700,000 | 9,797,000 | 9,455,230 | 9,482,000 | 9,706,886 |
| Istanbul | File:View of Levent financial district from Istanbul Sapphire.jpg | Turkey | Europe West Asia |
16,000,000 | 14,441,000 | 14,210,222 | 14,751,000 | 14,693,269 |
| Jakarta | File:SCBD, Jakarta.jpg | Indonesia | Southeast Asia | 29,500,000 | 35,386,000 | 40,545,126 | 10,517,000 | 32,513,588 |
| Jieyang | File:Puning Urban Night View from Baierqiutian.jpg | China | East Asia | Combined with Shantou |
2,516,000 | 10,579,303 | - | 13,891,202 |
| Johannesburg | File:Johannesburg CBD.jpg | South Africa | Template:Sort | 14,800,000 | 15,551,000 | 8,592,843 | 5,486,000 | 9,497,036 |
| Karachi | File:Skyline view in Karachi after lockdown.jpg | Pakistan | South Asia | 21,000,000 | 20,249,000 | 21,031,703 | 15,400,000 | 18,916,709 |
| Kinshasa | File:Boulevard du 30 juin, Kinshasa.jpg | DR Congo | Template:Sort | 16,300,000 | 13,493,000 | 12,945,683 | 13,171,000 | 10,077,694 |
| Kolkata | File:EM Bypass Kolkata.jpg | India | South Asia | 17,900,000 | 21,747,000 | 23,314,585 | 14,681,000 | 24,106,859 |
| Lagos | File:Lagos skyline.jpg | Nigeria | Template:Sort | 21,300,000 | 14,540,000 | 12,486,045 | 13,463,000 | 12,642,198 |
| Lahore | File:Badshahi Mosquee, Lahore.jpg | Pakistan | South Asia | 14,600,000 | 13,504,000 | 14,305,060 | 11,738,000 | 15,696,939 |
| Lima | File:City of Lima, Peru.jpg | Peru | South America | 12,000,000 | 10,556,000 | 10,828,104 | 10,391,000 | 10,496,389 |
| London | File:City of London skyline from London City Hall - Sept 2015 - Crop Aligned.jpg | United Kingdom | Europe | 15,100,000 | 10,803,000 | 10,408,333 | 9,046,000 | 13,475,297 |
| Los Angeles | File:Los Angeles with Mount Baldy.jpg | United States | North America | 17,100,000 | 15,587,000 | 13,474,333 | 12,458,000 | 16,206,529 |
| Luanda | File:Marginal de Luanda HD Dji Mavic 3 Classic - By Délcio Geovany Borges.jpg | Angola | Template:Sort | 9,650,000 | 10,914,000 | 11,672,134 | 7,774,000 | 10,212,263 |
| Metro Manila | File:Makati Guadalupe-Poblacion skyline with Paco, Quirino (Manila; 12-23-2023).jpg | Philippines | Southeast Asia | 27,800,000 | 24,156,000 | 25,921,189 | 13,482,000 | 27,327,889 |
| Mexico City | File:Ciudad.de.Mexico.City.- Paseo.Reforma.Skyline CDMX 2016 (cropped).jpg | Mexico | North America | 25,400,000 | 21,905,000 | 17,639,164 | 21,581,000 | 19,229,491 |
| Moscow | File:Business Centre of Moscow 2.jpg | Russia | Europe | 18,800,000 | 17,878,000 | 14,384,082 | 12,410,000 | 17,217,606 |
| Mumbai | File:ওরলির গগনরৈখিক দৃশ্য.jpg | India | South Asia | 27,600,000 | 25,189,000 | 20,453,270 | 19,980,000 | 23,435,141 |
| Nagoya | File:Meieki from Heiwa Park Aqua Tower.jpg | Japan | East Asia | 10,500,000 | 9,439,000 | 7,721,742 | 9,507,000 | 9,853,994 |
| New York City | File:A view of New York City with the Empire State Building and One World Trade Center from the Rockefeller Center.jpg | United States | North America | 21,800,000 | 21,396,000 | 14,197,659 | 18,819,000 | 20,106,617 |
| Osaka | File:Nakanoshima Skyscrapers in 201504 001.jpg | Japan | East Asia | 17,700,000 | 14,916,000 | 12,653,994 | 19,281,000 | 16,866,788 |
| Paris | File:Eiffel Tower from the Tour Montparnasse 3, Paris May 2014.jpg | France | Europe | 11,500,000 | 11,108,000 | 9,328,385 | 10,901,000 | 11,249,025 |
| Rhine-Ruhr | File:Aerial view of Essen.jpg | Germany | Europe | 10,900,000 | 6,769,000 | - | - | - |
| Rio de Janeiro | File:Aerial View of Flamengo 1.jpg | Brazil | South America | 13,600,000 | 12,306,000 | 9,853,693 | 13,293,000 | 11,068,999 |
| São Paulo | File:SP from Altino Arantes Building.jpg | Brazil | South America | 22,600,000 | 21,486,000 | 19,485,158 | 21,650,000 | 21,671,857 |
| Seoul | File:Seoul (South Korea).jpg | South Korea | East Asia | 25,200,000 | 23,225,000 | 22,261,692 | 9,963,000 | 25,199,125 |
| Shanghai | File:Shanghai skyline waterfront pudong 5166168 69 70.jpg | China | East Asia | 41,600,000 | 24,042,000 | 30,678,616 | 25,582,000 | 30,504,083 |
| Shenzhen | File:Shenzhen Skyline from Nanshan.jpg | China | East Asia | Combined with Guangzhou |
17,778,000 | Combined with Guangzhou |
11,908,000 | Combined with Guangzhou |
| Surabaya | File:Central Surabaya view taken from JW Marriott Surabaya.jpg | Indonesia | Southeast Asia | 5,950,000 | 6,556,000 | 6,856,993 | - | 10,695,358 |
| Suzhou | File:东方之门1.jpg | China | East Asia | Combined with Shanghai |
6,091,000 | 11,540,430 | 6,339,000 | 13,458,006 |
| Taipei | File:Taipei Skyline 2022.06.29.jpg | Taiwan | East Asia | 10,100,000 | 9,662,000 | 9,686,521 | - | 10,048,037 |
| Tehran | File:North of Tehran Skyline view.jpg | Iran | West Asia | 16,800,000 | 13,382,000 | 9,363,124 | 8,896,000 | 13,563,316 |
| Tianjin | File:Tianjin Skyline 2009 Sep 11 by Nangua 1.jpg | China | East Asia | 11,700,000 | 10,047,000 | 7,330,648 | 13,215,000 | 8,963,397 |
| Tokyo | File:Minato City, Tokyo, Japan.jpg | Japan | East Asia | 41,200,000 | 37,785,000 | 33,155,907 | 37,468,000 | 36,697,549 |
| Wuhan | File:Wuhan Yangtze River Bridge in 2020.jpg | China | East Asia | 12,600,000 | 10,353,000 | 8,079,484 | 8,176,000 | 8,947,812 |
| Xiamen | File:Amoy Skyscrapers 2018.jpg | China | East Asia | 15,400,000 | 5,253,000 | 1,676,987 | 3,585,000 | 4,261,898 |
| Xi'an | File:Xi'an erhuan southeast.JPG | China | East Asia | 13,400,000 | 12,211,000 | 5,298,991 | 7,444,000 | 6,818,858 |
| Zhengzhou | File:20211224 CBD of Zhengdong New Area.jpg | China | East Asia | 10,300,000 | 11,068,000 | 5,126,112 | 4,940,000 | 6,381,637 |
History
The term "megacity" entered common use in the late 19th or early 20th centuries; one of the earliest documented uses of the term was by the University of Texas in 1904.[15] Initially the United Nations used the term to describe cities of 8 million or more inhabitants, but now uses the threshold of 10 million.[16] In the mid 1970s the term was coined by urbanist Janice Perlman referring to the phenomenon of very large urban agglomerations.[17]
In 1800, only 3% of the world's population lived in cities, a figure that rose to 47% by the end of the twentieth century. In 1950, there were 83 cities with populations exceeding one million; by 2007, this number had risen to 468,[18] with 153 of them located in Asia. Among the 27 megacities with populations over 10 million globally, 15 were situated in Asia.[19]
In 2010, UN forecasted that urban population of 3.2 billion would rise to nearly 5 billion by 2030, when three out of five, or 60%, of people would live in cities.[20] This increase will be most dramatic on the least-urbanized continents, Asia and Africa. Surveys and projections indicate that all urban growth over the next 25 years will be in developing countries.[21] One billion people, almost one-seventh of the world's population, now live in shanty towns.[22] In many poor countries, overcrowded slums exhibit high rates of disease due to unsanitary conditions, malnutrition, and lack of basic health care.[23] By 2030, over 2 billion people in the world will be living in slums.[24] Over 90% of the urban population of Ethiopia, Malawi and Uganda, three of the world's most rural countries, already live in slums.
By 2025, Asia alone will have at least 30 megacities, including Mumbai, India (2015 population of 20.75 million people), Shanghai, China (2015 population of 35.5 million people), Delhi, India (2015 population of 21.8 million people), Tokyo, Japan (2015 population of 38.8 million people) and Seoul, South Korea (2015 population of 25.6 million people). The top eight provincial capital cities in China with urban areas exceeding 400 km²—Beijing, Shanghai, Tianjin, Guangzhou, Chongqing, Hangzhou, Wuhan, and Xi'an—accounted for 54.8% of the total urban area of all provincial capital cities in the country in 2015.[19]
In Africa, Lagos, Nigeria has grown from 300,000 in 1950 to an estimated 21 million today.
Growth
For almost five hundred years, during the period of the Republic and later of the Empire, Rome was the largest, wealthiest, and most politically important city of the ancient world, rulling over Europe, Western Asia and Northern Africa.[25][26] It is often stated that its population passed one million people by the end of the 1st century BC, however, it is debated about whether the population actually reached such a large size.[27][28] Rome's population started declining in 402 AD when Flavius Honorius, Western Roman Emperor from 395 to 423, moved the government to Ravenna and Rome's population declined to a mere 20,000 during the Early Middle Ages, reducing the sprawling city to groups of inhabited buildings interspersed among large areas of ruins and vegetation.
Baghdad was likely the largest city in the world from shortly after its foundation in 762 AD until the 930s, with some estimates putting its population at over one million.[29] Chinese capital cities Chang'an and Kaifeng also experienced huge population booms during prosperous empires. According to the census in the year 742 recorded in the New Book of Tang, 362,921 families with 1,960,188 persons were counted in Jingzhao Fu (京兆府), the metropolitan area including small cities in the vicinity of Chang'an.[30] The medieval settlement surrounding Angkor, the one-time capital of the Khmer Empire which flourished between the 9th and 15th centuries, could have supported a population of up to one million people.[31]
From around 1825 to 1918 London was the largest city in the world, with the population growing rapidly; it was the first city to reach a population of over 5 million in 1900. In 1950, New York City was the only urban area with a population of over 10 million.[32] Geographers had identified 25 such areas as of October 2005,[33] as compared with 19 megacities in 2004 and only nine in 1985. This increase has happened as the world's population moves towards the high (75–85%) urbanization levels of North America and Western Europe.
Since the 2000s, the largest megacity has been the Greater Tokyo Area. The population of this urban agglomeration includes areas such as Yokohama and Kawasaki, and is estimated to be between 37 and 38 million. This variation in estimates can be accounted for by different definitions of what the area encompasses. While the prefectures of Tokyo, Chiba, Kanagawa, and Saitama are commonly included in statistical information, the Japan Statistics Bureau only includes the area within 50 kilometers of the Tokyo Metropolitan Government Offices in Shinjuku, thus arriving at a smaller population estimate.[34][35] A characteristic issue of megacities is the difficulty in defining their outer limits and accurately estimating the populations.
Another list defines megacities as urban agglomerations instead of metropolitan areas.[36] As of 2021, there are 28 megacities by this definition, like Tokyo.[37] Other sources list Nagoya[9] and the Rhein-Ruhr[38] as megacities.
Challenges
Slums
According to the United Nations, the proportion of urban dwellers living in slums or informal settlements decreased from 47 percent to 37 percent in the developing world between 1990 and 2005.[39] However, due to rising population, the absolute number of slum dwellers is rising and passed 1 billion in 2018.[40] The increase in informal settlement population has been caused by massive migration, both internal and transnational, into cities, which has caused growth rates of urban populations and spatial concentrations not seen before in history.Script error: No such module "Unsubst". The majority of these are located in informal settlements which often lack sufficient quality housing, sanitation, drainage, water access, and officially recognized addresses. These issues raise problems in the political, social, and economic arenas.[41] People who live in slums or informal settlements often have minimal or no access to education, healthcare, or the urban economy.
Crime
As with any large concentration of people, there is usually crime.[42][43] High population densities often result in higher crime rates, as visibly seen in growing megacities such as Karachi, Delhi, Cairo, Rio de Janeiro, and Lagos.[44]
Homelessness
Megacities often have significant numbers of homeless people. The actual legal definition of homelessness varies from country to country, or among different entities or institutions in the same country or region.[45]
In 2002, research showed that children and families were the largest growing segment of the homeless population in the United States,[46][47] and this has presented new challenges, especially in services, to agencies. In the US, the government asked many major cities to come up with a ten-year plan to end homelessness. One of the results of this was a "Housing first" solution, rather than to have a homeless person remain in an emergency homeless shelter it was thought to be better to quickly get the person permanent housing of some sort and the necessary support services to sustain a new home. But there are many complications with this kind of program and these must be dealt with to make such an initiative work successfully in the middle to long term.[48][49]
Traffic congestion
Traffic congestion is a condition on road networks that occurs as use increases, and is characterized by slower speeds, longer trip times, increased pollution, and increased vehicular queueing. The Texas Transportation Institute estimated that, in 2000, the 75 largest metropolitan areas experienced 3.6 billion vehicle-hours of delay, resulting in 5.7 billion U.S. gallons (21.6 billion liters) in wasted fuel and $67.5 billion in lost productivity, or about 0.7% of the nation's GDP. It also estimated that the annual cost of congestion for each driver was approximately $1,000 in very large cities and $200 in small cities.[50] Traffic congestion is increasing in major cities and delays are becoming more frequent in smaller cities and rural areas. It also can result in various issues, including economic losses, energy waste, air and noise pollution, and more.[19]
Urban sprawl
Urban sprawl, also known as suburban sprawl, is a multifaceted concept, which includes the spreading outwards of a city and its suburbs to its outskirts to low-density, auto-dependent development on rural land, with associated design features that encourage car dependency.[51] As a result, some critics argue that sprawl has certain disadvantages including longer transport distances to work, high car dependence, inadequate facilities (e.g. health, cultural. etc.) and higher per-person infrastructure costs. Discussions and debates about sprawl are often obfuscated by the ambiguity associated with the phrase. For example, some commentators measure sprawl only with the average number of residential units per acre in a given area. But others associate it with decentralization (spread of population without a well-defined center), discontinuity (leapfrog development), segregation of uses, etc.[52]
Gentrification
Gentrification and urban gentrification are terms for the socio-cultural changes in an area as a result of wealthier people buying property in a less prosperous community.[53] As living costs rise, lower-income residents are forced to move out of the community leading to an increase in average income, which in turn makes the area more desirable to other wealthier property or business owners, further pushing the living costs up. This process also tends to lead to a decrease in average family size in the area. This type of population change reduces industrial land use when it is redeveloped for commerce and housing.
Air pollution
Air pollution is the introduction into the atmosphere of chemicals, particulate matter, or biological materials that cause harm or discomfort to humans or other living organisms, or damages the natural environment.[54][55] This issue is particularly prevalent in developing nations. As part of the Global Environment Monitoring System, WHO and UNEP established an air pollution monitoring network that oversees 50 cities.[56] Many urban areas have significant problems with smog, a type of air pollution derived from vehicle emissions from internal combustion engines and industrial fumes that react in the atmosphere with sunlight to form secondary pollutants that also combine with the primary emissions to form photochemical smog.[19]
Energy and material resources
The sheer size and complexity of megacities gives rise to enormous social and environmental challenges. Whether megacities can develop sustainably depends to a large extent on how they obtain, share, and manage their energy and material resources. There are correlations between electricity consumption, heating and industrial fuel use, ground transportation energy use, water consumption, waste generation, and steel production in terms of level of consumption and how efficiently they use resources.[57]
In fiction
Megacities are a common backdrop in dystopian science fiction, with examples such as the Sprawl in William Gibson's Neuromancer,[58] and Mega-City One, a megalopolis of between 50 and 800 million people (fluctuations due to war and disaster) across the east coast of the United States, in the Judge Dredd comic.[59] In Demolition Man a megacity called "San Angeles" was formed from the joining of Los Angeles, Santa Barbara, San Diego and the surrounding metropolitan regions following a massive earthquake in 2010.[60] Fictional planet-wide megacities (ecumenopoleis) include Trantor in Isaac Asimov's Foundation series of books and Coruscant (population two trillion) in the Star Wars universe.[61]
See also
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- Economies of agglomeration
- Global city
- List of largest cities
- List of largest cities throughout history
- Megalopolis
- Urban sprawl
References
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- ↑ New Book of Tang, vol. 41 (Zhi vol. 27) Geography 1.
- ↑ Metropolis: Angkor, the world's first mega-city, The Independent, August 15, 2007
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- ↑ FACS, "Homeless Children, Poverty, Faith and Community: Understanding and Reporting the Local Story", March 26, 2002 Akron, Ohio. Script error: No such module "citation/CS1".
- ↑ National Coalition for the Homeless, "Homeless Youth" 2005 Script error: No such module "citation/CS1". (164 KB)Script error: No such module "Check for unknown parameters".
- ↑ Abel, David, "For the homeless, keys to a home: Large-scale effort to keep many off street faces hurdles", Boston Globe, February 24, 2008.
- ↑ PBS, "Home at Last? – A radical new approach to helping the homeless", NOW TV program, December 21, 2007.
- ↑ Script error: No such module "citation/CS1".
- ↑ Template:Usurped. SprawlCity.org. Retrieved on 2008-02-07.
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